I’m currently an AI Scientist at GE Healthcare, working on Large Language Models (LLMs) for healthcare applications. I obtained my M.S. degree in Computer Science, and B.S. with a dual degree in Computer Science and Mathematics at University of Illinois at Urbana-Champaign in Data Mining Group (DMG), where I was fortunately advised by Prof. Jiawei Han.

My current research area is in Trustworthy Machine Learning and AI For Science. My exploration interests lie in the intersections of general Natural Language Processing, Large Language Models, and Deep Learning.

Academic Services

• Conference Reviewer: EMNLP 2022-2023, ACL 2023-2024, KDD 2023-2024, SDM 2024, COLM 2024, NeurIPS 2024.
• Workshop Reviewer: AdvML-Frontiers@ICML 2023, DPFM@ICLR 2024.

Honors & Awards

• Best Paper Award of DPFM@ICLR 2024, 2024, Vienna, Austria
• Tan Family Education Foundation Scholarship, 2021-2022, UIUC
• Jefferey P. Blahut Memorial Scholarship, 2021-2022, UIUC
• Yunni and Maxine Pao Memorial Scholarship, 2021-2022, UIUC

News

• [2024.5] Our paper won the Best Paper Award at DPFM@ICLR 2024!! One paper was accepted by KDD 2024.
• [2024.2] Our paper on data contamination has been accepted by ME-FoMo, DPFM, R2-FM workshops@ICLR 2024! One paper was accepted by SDM 2024.
• [2023.10] Two papers were accepted by EMNLP 2023 and one paper was accepted by SIGSPATIAL 2023.
• [2023.5] One paper was accepted by ACL 2023.
• [2022.10] One paper has been accepted by IEEE BIBM 2022 Conference.
• [2022.1] Our paper “TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations” has been accepted by The Web Conference 2022 (WWW’2022)!
• [2021.6] One paper was accepted by 2021 Winter Simulation Conference (WSC’2021).